Leads enterprise sales team to scale operations, drive revenue growth, hire/train AEs, manage forecasting/pipeline, and pursue market opportunities. Requires 4+ years sales management in B2B/SaaS, MEDDPICC training.

Founding fullstack engineer building AI desktop assistant using TypeScript stack. Handles React frontend with data fetching/caching, database schema design, and application deployment/scaling in intensive onsite environment.

Own technical strategy and lead complex enterprise evaluations for Hebbia's AI platform. Conduct technical discovery, design AI workflows, deliver demos, and partner with Sales to drive revenue in banking and asset management sectors.

Develops and deploys cutting-edge AI models and LLM-based solutions for internal tools and customer products. Collaborates with product/engineering teams to prototype, iterate, and shape technical direction in a fast-paced startup environment. Requires 3+ years experience with Python, TypeScript, and AI frameworks.

Backend Engineer building scalable AI-agent infrastructure on AWS Serverless (Lambda, Step Functions, Aurora). Design high-performance systems, create monitoring/alerting, mentor team, and use codegen models to accelerate development while collaborating with AI/product teams.

Technical Account Manager owns customer relationships, drives platform adoption through technical guidance, advanced feature deep-dives, and troubleshooting. Requires 3-5 years in customer-facing technical roles and familiarity with APIs, webhooks, and SaaS integrations.

Designs and engineers distributed systems for compute, scheduling, and orchestration of ML and ETL pipelines handling large-scale video data. Requires 3+ years building data infrastructure, proficiency in Go/Python, and experience with petabyte-scale pipelines and CI/CD.

Designs, builds, and maintains ML training and serving infrastructure, providing support to research teams. Requires 4+ years in ML infrastructure, cloud platforms like Kubernetes and Google Cloud, and GPU experience.

Designs and operates scalable data infrastructure for privacy, legal compliance, and security workflows, including secure storage, search services, and automated data transfers. Partners with Legal, Security, and engineering teams to build defensible systems handling large-scale data problems.

Freelance specialists produce and review accurate transcripts and timed subtitles for global media content. The role requires near-native language fluency, prior transcription or subtitling experience, strong attention to detail, and independent delivery.

Leads GPU inference engineering for Sora, optimizing model serving efficiency, kernel-level performance, and scalability. Collaborates with research and product teams to build reliable infrastructure for multimodal AI models.

Build consumer-grade UI for GenAI features and extend backend APIs, search pipelines, and NLP research implementations. Requires 1-5+ years experience with TypeScript/React/NextJS, Python, Postgres in a fast-paced startup.

Develops advanced LLM-based knowledge graphs, RAG techniques, agents, and NLP features to enhance Onyx's AI knowledge retrieval platform. Requires 3+ years AI/ML experience with PyTorch/TensorFlow and strong software engineering skills.

Supports legal team with research on US/international regulations, compliance tracking, contract processes, and efficiency tools. Collaborates cross-functionally with Sales, Marketing, and Engineering while reporting to General Counsel. Requires bachelor's degree and strong analytical skills.

Builds and operates Habitat, OpenAI's core online database platform handling high-QPS, latency-sensitive workloads. Owns end-to-end distributed systems for storage, caching, routing, CDC, and privacy; requires 8+ years experience with Rust/Python expertise.

Designs and implements test plans, automation frameworks, and data analysis for AI autonomy software in robotics. Collaborates with developers on integration, bug root cause, and CI/CD optimization for Hivemind ecosystem. Requires 5+ years experience, Python/C++, HIL testing.

Builds ambitious RL environments and evaluation systems to measure and steer frontier AI models toward safe AGI. Requires strong ML research engineering, statistical skills, and red-teaming mindset for end-to-end project ownership in fast-paced setting.

Build backend systems and data pipelines that support privacy, legal compliance, and sensitive-data workflows across API products and consumer applications. The role partners closely with legal, trust and safety, and engineering teams to automate customer-data processes.

Builds and maintains scalable cloud infrastructure using Terraform and Kubernetes, owns CI/CD pipelines and observability, supports multi-cloud deployments, and assists customers with self-hosting. Requires 5+ years in DevOps/SRE, deep AWS experience, and programming skills.

Owns end-to-end customer success for AI platform, including onboarding, playbooks, metrics, adoption tracking, and product advocacy. Collaborates with customers and engineering to drive retention and roadmap input in fast-paced startup.

Designs scalable AWS serverless infrastructure for AI agents in enterprise B2B SaaS, enabling rapid development by engineers and models. Leads technical decisions, mentors team, and drives best practices using TypeScript and CDK.

Develops novel AI agent applications using language models, manages model alpha program with OpenAI, architects risk AI workflows, and conducts experiments to evaluate model capabilities for B2B SaaS products.

Builds user interfaces and tools in React/TypeScript for customers to monitor and tune AI agent actions on enterprise platform data. Works directly with users, maintains frontend best practices, and leverages codegen for rapid development.

Sales Development Representative conducts outbound research, cold calling, emailing, and social outreach to generate B2B leads for AI voice technology. Requires prior outbound sales experience, strong communication, and self-motivation to collaborate with Account Executives.

Prospects and closes new SaaS sales opportunities for AI inference platform, targeting technical audiences and building customer relationships. Requires 4-7 years SaaS sales experience, ability to sell to developers, and proficiency with sales tools.

Prospects, qualifies, and closes high-value SaaS deals with SMB and mid-market CX leaders using outbound campaigns, demos, and C-suite engagement. Requires 3+ years high-velocity sales experience, quota success, and founder mindset in fast-paced startup environment.

Builds advanced AI systems using massive-scale distributed machine learning to achieve breakthrough performance. Requires strong programming skills and experience with large distributed systems.

Solutions Engineer collaborates with sales to architect technical solutions, deliver demos, build enablement resources and self-service tools for enterprise customers adopting voice AI platform. Requires strong Python proficiency, customer-facing experience, and technical architecture skills.

Senior engineer leading development of AI-powered customer support tools, including prompt engineering pipelines, real-time multimodal simulations, and high-performance Next.js UIs. Owns architecture, mentors team, requires 4+ years experience with web/AI expertise.

The Senior DevOps Engineer will build and operate scalable, secure multi-region cloud infrastructure, networking, monitoring, and delivery pipelines across cloud and private environments. The role requires 5+ years of DevOps or cloud engineering experience, strong Linux and AWS expertise, and participation in production on-call support.

Build and scale customer-facing software, integrate AI models, and improve distributed services across the full development lifecycle. The role requires 5+ years of software development experience, strong Python or comparable-language skills, and familiarity with Python, Kubernetes, React, MySQL, and AWS.

Owns end-to-end design for complex AI-powered enterprise products, partnering closely with engineering and leadership to create trustworthy, technically feasible experiences. Requires 5+ years of product design experience, strong strategic and systems thinking, technical fluency, and Hungarian and English fluency.

Leads and mentors a hands-on software engineering team, driving technical initiatives, architecture, delivery, and process improvement. Requires 7+ years of software engineering experience, at least 2 years in management, and experience with agile B2B SaaS environments.

Leads product vision, roadmap development, research, prioritization, and performance optimization for a CRM-focused software product. Requires at least five years of product management experience, strong analytical and communication skills, and experience in international Agile organizations.

Builds and optimizes foundational search-engine components, indexing pipelines, retrieval and ranking systems, and distributed data-processing infrastructure at extreme scale. Requires at least three years of systems programming experience and strong expertise in concurrency, Linux internals, algorithms, and low-level performance optimization.

Founding engineer owns full stack development for AI wearable hardware platform, including mobile apps, backend, firmware, and BLE. Builds magical prototypes, architects SDK/platform, and shapes product direction with founder.

Leads hardware product portfolio for AI companion devices, owning full lifecycle from concept to launch and managing a small PM team. Requires 10+ years PM experience with proven consumer hardware launches and deep hardware processes knowledge.

Leads backend engineering for enterprise AI software, building scalable systems with Go/Python, APIs (REST/GraphQL), databases (PostgreSQL/Redshift), and cloud/container tech. Requires 4+ years experience, CS bachelor's, and full-stack contributions in a hybrid role.

Builds and maintains foundational systems, tools, and processes to boost developer productivity and engineering velocity at OpenAI. Requires 5+ years engineering experience, including infrastructure tooling, with core tech like Kubernetes, Python, and Terraform. Onsite in SF HQ.

Build and deploy retrieval, ranking, classification, and LLM-based systems that improve large-scale search quality. The role requires deep search or recommender-systems expertise and at least five years of relevant project experience.

We are seeking full-time researchers to develop and analyze learning algorithms for a system that represents domain knowledge as modular probabilistic models. The role involves theoretical problems with immediate implementation applicability in finance and scientific research.

Designs, develops, and deploys AI-driven agentic systems and integrates emerging AI research to enhance platform capabilities for software organizations. Requires 2+ years AI/ML experience, proficiency with LLMs, and Bachelor's/Master's in CS or related field.

Develops core platform infrastructure including authentication, billing, scalable backend services, and frontend admin interfaces. Requires 3+ years full-stack experience with strong frontend skills in React/JavaScript and backend in Node.js/Python.

Builds and maintains scalable data processing pipelines and backend systems for a data curation platform that optimizes training data for ML models. Partners with researchers to integrate research capabilities, ensuring reliability and security for customer data.

Builds scalable data and ML infrastructure supporting multi-cloud and deployment models. Partners with founders and engineers on core platforms, tooling, and research features for reliable production systems.

Build and maintain anti-abuse and content moderation infrastructure to ensure AI safety. Collaborate with engineers on AI alignment techniques, incident response, and risk mitigation using Python and cloud tools.

Optimizes and extends ML model serving infrastructure for LLMs, speech, and vision models, focusing on high-throughput, low-latency inference using frameworks like VLLM and SGLang. Requires deep PyTorch expertise, systems programming, and performance engineering for reliable production deployment.

Builds and optimizes distributed training infrastructure for large-scale multimodal AI models across thousands of GPUs. Requires deep expertise in PyTorch, CUDA, parallelization techniques, and GPU clusters.

Develops and deploys ML models for NLP, retrieval, ranking, reasoning, dialog, and code-generation systems. Requires Master's/PhD, 2+ years experience with production ML, deep NLP expertise, Python, and frameworks like PyTorch/TensorFlow.

Build and maintain scalable backend systems, APIs, data schemas, and enterprise integrations using Go and Python. The role requires at least four years of relevant experience, strong database and cloud expertise, and a bachelor's degree in computer science or a related field.